Profiling Report

Dataset statistics

Number of variables	22
Number of observations	66450
Missing cells	142192
Missing cells (%)	9.7%
Duplicate rows	1413
Duplicate rows (%)	2.1%
Total size in memory	10.5 MiB
Average record size in memory	165.0 B

Variable types

Text	4
DateTime	5
Numeric	7
Categorical	3
Boolean	2
Unsupported	1

Alerts

`timezone` has constant value "America/Los_Angeles"	Constant
`paymentRequired` has constant value "True"	Constant
Dataset has 1413 (2.1%) duplicate rows	Duplicates
`connectionWeekdayName` is highly overall correlated with `isWeekend`	High correlation
`isWeekend` is highly overall correlated with `connectionWeekdayName`	High correlation
`kWhDelivered` is highly overall correlated with `kWhRequested` and 1 other fields	High correlation
`kWhRequested` is highly overall correlated with `kWhDelivered` and 1 other fields	High correlation
`milesRequested` is highly overall correlated with `kWhDelivered` and 1 other fields	High correlation
`isWeekend` is highly imbalanced (57.7%)	Imbalance
`doneChargingTime` has 4088 (6.2%) missing values	Missing
`userID` has 17263 (26.0%) missing values	Missing
`WhPerMile` has 17263 (26.0%) missing values	Missing
`kWhRequested` has 17263 (26.0%) missing values	Missing
`milesRequested` has 17263 (26.0%) missing values	Missing
`minutesAvailable` has 17263 (26.0%) missing values	Missing
`modifiedAt` has 17263 (26.0%) missing values	Missing
`paymentRequired` has 17263 (26.0%) missing values	Missing
`requestedDeparture` has 17263 (26.0%) missing values	Missing
`connectionTimespan` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2024-11-14 18:43:02.280811
Analysis finished	2024-11-14 18:43:06.638762
Duration	4.36 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

id
Text

Distinct	65037
Distinct (%)	97.9%
Missing	0
Missing (%)	0.0%
Memory size	519.3 KiB

Length

Max length	24
Median length	24
Mean length	24
Min length	24

Characters and Unicode

Total characters	1594800
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	63624 ?
Unique (%)	95.7%

Sample

1st row	5e23b149f9af8b5fe4b973cf
2nd row	5e23b149f9af8b5fe4b973d0
3rd row	5e23b149f9af8b5fe4b973d1
4th row	5e23b149f9af8b5fe4b973d2
5th row	5e23b149f9af8b5fe4b973d3

Value	Count	Frequency (%)
5d3b9b4ff9af8b7392318319	2	< 0.1%
5d4f61d6f9af8b30fe7ecfe8	2	< 0.1%
5d574ad2f9af8b4c10c0364a	2	< 0.1%
5d574ad2f9af8b4c10c03649	2	< 0.1%
5d574ad2f9af8b4c10c03648	2	< 0.1%
5d574ad2f9af8b4c10c03647	2	< 0.1%
5d574ad2f9af8b4c10c03646	2	< 0.1%
5d574ad2f9af8b4c10c03645	2	< 0.1%
5d574ad2f9af8b4c10c0364d	2	< 0.1%
5d55f950f9af8b45dfb3d8a3	2	< 0.1%
Other values (65027)	66430	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
f	186880	11.7%
b	134254	8.4%
9	132068	8.3%
a	125894	7.9%
8	123025	7.7%
5	116280	7.3%
c	92936	5.8%
d	89241	5.6%
6	88316	5.5%
7	79006	5.0%
Other values (6)	426900	26.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1594800	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
f	186880	11.7%
b	134254	8.4%
9	132068	8.3%
a	125894	7.9%
8	123025	7.7%
5	116280	7.3%
c	92936	5.8%
d	89241	5.6%
6	88316	5.5%
7	79006	5.0%
Other values (6)	426900	26.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1594800	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
f	186880	11.7%
b	134254	8.4%
9	132068	8.3%
a	125894	7.9%
8	123025	7.7%
5	116280	7.3%
c	92936	5.8%
d	89241	5.6%
6	88316	5.5%
7	79006	5.0%
Other values (6)	426900	26.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1594800	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
f	186880	11.7%
b	134254	8.4%
9	132068	8.3%
a	125894	7.9%
8	123025	7.7%
5	116280	7.3%
c	92936	5.8%
d	89241	5.6%
6	88316	5.5%
7	79006	5.0%
Other values (6)	426900	26.8%

connectionTime
Date

Distinct	64839
Distinct (%)	97.6%
Missing	0
Missing (%)	0.0%
Memory size	519.3 KiB

Minimum	2018-04-25 04:08:04-07:00
Maximum	2021-09-13 22:43:39-07:00

Histogram with fixed size bins (bins=50)

disconnectTime
Date

Distinct	64906
Distinct (%)	97.7%
Missing	0
Missing (%)	0.0%
Memory size	519.3 KiB

Minimum	2018-04-25 06:20:10-07:00
Maximum	2021-09-14 07:46:28-07:00

Histogram with fixed size bins (bins=50)

doneChargingTime
Date

Missing

Distinct	60637
Distinct (%)	97.2%
Missing	4088
Missing (%)	6.2%
Memory size	519.3 KiB

Minimum	2018-04-25 06:21:10-07:00
Maximum	2021-09-14 07:46:22-07:00

Histogram with fixed size bins (bins=50)

kWhDelivered
Real number (ℝ)

High correlation

Distinct	25629
Distinct (%)	38.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.787916

Minimum	0.501
Maximum	108.79724
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	519.3 KiB

Quantile statistics

Minimum	0.501
5-th percentile	0.917
Q1	5.097
median	9.14
Q3	14.183
95-th percentile	34.8814
Maximum	108.79724
Range	108.29624
Interquartile range (IQR)	9.086

Descriptive statistics

Standard deviation	10.314789
Coefficient of variation (CV)	0.87503069
Kurtosis	3.9074214
Mean	11.787916
Median Absolute Deviation (MAD)	4.657
Skewness	1.8274044
Sum	783307.05
Variance	106.39486
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.886	31	< 0.1%
0.901	31	< 0.1%
0.878	30	< 0.1%
0.86	28	< 0.1%
0.897	28	< 0.1%
0.852	27	< 0.1%
13.893	27	< 0.1%
13.874	26	< 0.1%
0.853	26	< 0.1%
0.892	26	< 0.1%
Other values (25619)	66170	99.6%

Value	Count	Frequency (%)
0.501	3	< 0.1%
0.502	5	< 0.1%
0.503	2	< 0.1%
0.5037679211	1	< 0.1%
0.505	1	< 0.1%
0.506	2	< 0.1%
0.507	2	< 0.1%
0.508	2	< 0.1%
0.5081750299	1	< 0.1%
0.509	1	< 0.1%

Value	Count	Frequency (%)
108.7972417	1	< 0.1%
89.36273194	1	< 0.1%
77.7	1	< 0.1%
75.696	1	< 0.1%
75.528	1	< 0.1%
72.582	1	< 0.1%
69.74	1	< 0.1%
69.373	1	< 0.1%
68.74	1	< 0.1%
68.609	1	< 0.1%

sessionID
Text

Distinct	65037
Distinct (%)	97.9%
Missing	0
Missing (%)	0.0%
Memory size	519.3 KiB

Length

Max length	39
Median length	38
Mean length	37.991543
Min length	37

Characters and Unicode

Total characters	2524538
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	63624 ?
Unique (%)	95.7%

Sample

1st row	1_1_179_810_2020-01-02 13:08:53.870034
2nd row	1_1_193_825_2020-01-02 13:36:49.599853
3rd row	1_1_193_829_2020-01-02 13:56:35.214993
4th row	1_1_193_820_2020-01-02 13:59:58.309319
5th row	1_1_193_819_2020-01-02 14:00:00.779967

Value	Count	Frequency (%)
2_39_81_4550_2021-07-06	9	< 0.1%
2_39_81_4550_2021-08-21	9	< 0.1%
2_39_81_4550_2021-08-01	9	< 0.1%
2_39_130_31_2018-10-28	9	< 0.1%
2_39_81_4550_2021-08-28	9	< 0.1%
2_39_81_4550_2021-09-10	8	< 0.1%
2_39_81_4550_2021-06-24	8	< 0.1%
2_39_81_4550_2021-06-19	8	< 0.1%
2_39_127_19_2018-07-28	8	< 0.1%
2_39_81_4550_2021-07-04	8	< 0.1%
Other values (111178)	132815	99.9%

Most occurring characters

Value	Count	Frequency (%)
1	389675	15.4%
2	278190	11.0%
_	265800	10.5%
0	262018	10.4%
9	188446	7.5%
3	165220	6.5%
8	145176	5.8%
-	132900	5.3%
:	132900	5.3%
7	124082	4.9%
Other values (5)	440131	17.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2524538	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	389675	15.4%
2	278190	11.0%
_	265800	10.5%
0	262018	10.4%
9	188446	7.5%
3	165220	6.5%
8	145176	5.8%
-	132900	5.3%
:	132900	5.3%
7	124082	4.9%
Other values (5)	440131	17.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2524538	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	389675	15.4%
2	278190	11.0%
_	265800	10.5%
0	262018	10.4%
9	188446	7.5%
3	165220	6.5%
8	145176	5.8%
-	132900	5.3%
:	132900	5.3%
7	124082	4.9%
Other values (5)	440131	17.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2524538	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	389675	15.4%
2	278190	11.0%
_	265800	10.5%
0	262018	10.4%
9	188446	7.5%
3	165220	6.5%
8	145176	5.8%
-	132900	5.3%
:	132900	5.3%
7	124082	4.9%
Other values (5)	440131	17.4%

siteID
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	519.3 KiB

1	35042
2	31408

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	66450
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	35042	52.7%
2	31408	47.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	35042	52.7%
2	31408	47.3%

Most occurring characters

Value	Count	Frequency (%)
1	35042	52.7%
2	31408	47.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	66450	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	35042	52.7%
2	31408	47.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	66450	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	35042	52.7%
2	31408	47.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	66450	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	35042	52.7%
2	31408	47.3%

spaceID
Text

Distinct	107
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	519.3 KiB

Length

Max length	8
Median length	7
Mean length	6.5612039
Min length	6

Characters and Unicode

Total characters	435992
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AG-3F30
2nd row	AG-1F01
3rd row	AG-1F03
4th row	AG-1F04
5th row	AG-1F06

Value	Count	Frequency (%)
ca-303	1805	2.7%
ag-1f08	1496	2.3%
ca-305	1411	2.1%
ag-1f10	1313	2.0%
ag-1f06	1251	1.9%
ag-1f04	1192	1.8%
ag-1f13	1170	1.8%
ca-307	1140	1.7%
11900388	1125	1.7%
ag-1f02	1111	1.7%
Other values (97)	53436	80.4%

Most occurring characters

Value	Count	Frequency (%)
A	65325	15.0%
-	65325	15.0%
3	46944	10.8%
1	41082	9.4%
G	35042	8.0%
F	35042	8.0%
C	30283	6.9%
0	27725	6.4%
4	26056	6.0%
2	18603	4.3%
Other values (5)	44565	10.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	435992	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	65325	15.0%
-	65325	15.0%
3	46944	10.8%
1	41082	9.4%
G	35042	8.0%
F	35042	8.0%
C	30283	6.9%
0	27725	6.4%
4	26056	6.0%
2	18603	4.3%
Other values (5)	44565	10.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	435992	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	65325	15.0%
-	65325	15.0%
3	46944	10.8%
1	41082	9.4%
G	35042	8.0%
F	35042	8.0%
C	30283	6.9%
0	27725	6.4%
4	26056	6.0%
2	18603	4.3%
Other values (5)	44565	10.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	435992	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	65325	15.0%
-	65325	15.0%
3	46944	10.8%
1	41082	9.4%
G	35042	8.0%
F	35042	8.0%
C	30283	6.9%
0	27725	6.4%
4	26056	6.0%
2	18603	4.3%
Other values (5)	44565	10.2%

stationID
Text

Distinct	107
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	519.3 KiB

Length

Max length	12
Median length	11
Mean length	10.991543
Min length	10

Characters and Unicode

Total characters	730388
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1-1-179-810
2nd row	1-1-193-825
3rd row	1-1-193-829
4th row	1-1-193-820
5th row	1-1-193-819

Value	Count	Frequency (%)
2-39-139-28	1805	2.7%
1-1-178-823	1496	2.3%
2-39-131-30	1411	2.1%
1-1-178-828	1313	2.0%
1-1-193-819	1251	1.9%
1-1-193-820	1192	1.8%
1-1-194-821	1170	1.8%
2-39-129-17	1140	1.7%
2-39-81-4550	1125	1.7%
1-1-193-827	1111	1.7%
Other values (97)	53436	80.4%

Most occurring characters

Value	Count	Frequency (%)
-	199350	27.3%
1	146746	20.1%
9	89636	12.3%
3	65730	9.0%
2	64813	8.9%
8	55432	7.6%
7	52951	7.2%
4	15788	2.2%
0	15695	2.1%
6	12755	1.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	730388	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	199350	27.3%
1	146746	20.1%
9	89636	12.3%
3	65730	9.0%
2	64813	8.9%
8	55432	7.6%
7	52951	7.2%
4	15788	2.2%
0	15695	2.1%
6	12755	1.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	730388	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	199350	27.3%
1	146746	20.1%
9	89636	12.3%
3	65730	9.0%
2	64813	8.9%
8	55432	7.6%
7	52951	7.2%
4	15788	2.2%
0	15695	2.1%
6	12755	1.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	730388	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	199350	27.3%
1	146746	20.1%
9	89636	12.3%
3	65730	9.0%
2	64813	8.9%
8	55432	7.6%
7	52951	7.2%
4	15788	2.2%
0	15695	2.1%
6	12755	1.7%

timezone
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	519.3 KiB

America/Los_Angeles	66450

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	1262550
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	America/Los_Angeles
2nd row	America/Los_Angeles
3rd row	America/Los_Angeles
4th row	America/Los_Angeles
5th row	America/Los_Angeles

Common Values

Value	Count	Frequency (%)
America/Los_Angeles	66450	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
america/los_angeles	66450	100.0%

Most occurring characters

Value	Count	Frequency (%)
e	199350	15.8%
A	132900	10.5%
s	132900	10.5%
m	66450	5.3%
r	66450	5.3%
i	66450	5.3%
c	66450	5.3%
a	66450	5.3%
/	66450	5.3%
L	66450	5.3%
Other values (5)	332250	26.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1262550	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	199350	15.8%
A	132900	10.5%
s	132900	10.5%
m	66450	5.3%
r	66450	5.3%
i	66450	5.3%
c	66450	5.3%
a	66450	5.3%
/	66450	5.3%
L	66450	5.3%
Other values (5)	332250	26.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1262550	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	199350	15.8%
A	132900	10.5%
s	132900	10.5%
m	66450	5.3%
r	66450	5.3%
i	66450	5.3%
c	66450	5.3%
a	66450	5.3%
/	66450	5.3%
L	66450	5.3%
Other values (5)	332250	26.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1262550	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	199350	15.8%
A	132900	10.5%
s	132900	10.5%
m	66450	5.3%
r	66450	5.3%
i	66450	5.3%
c	66450	5.3%
a	66450	5.3%
/	66450	5.3%
L	66450	5.3%
Other values (5)	332250	26.3%

userID
Real number (ℝ)

Missing

Distinct	1006
Distinct (%)	2.0%
Missing	17263
Missing (%)	26.0%
Infinite	0
Infinite (%)	0.0%
Mean	1800.4946

Minimum	1
Maximum	19923
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	519.3 KiB

Quantile statistics

Minimum	1
5-th percentile	280.6
Q1	431
median	818
Q3	1805
95-th percentile	7705
Maximum	19923
Range	19922
Interquartile range (IQR)	1374

Descriptive statistics

Standard deviation	2617.5486
Coefficient of variation (CV)	1.4537942
Kurtosis	11.027097
Mean	1800.4946
Median Absolute Deviation (MAD)	439
Skewness	3.1331269
Sum	88560927
Variance	6851560.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
169	545	0.8%
651	510	0.8%
405	507	0.8%
933	507	0.8%
743	485	0.7%
562	385	0.6%
1082	382	0.6%
3687	382	0.6%
368	353	0.5%
420	347	0.5%
Other values (996)	44784	67.4%
(Missing)	17263	26.0%

Value	Count	Frequency (%)
1	1	< 0.1%
17	1	< 0.1%
22	58	0.1%
43	1	< 0.1%
45	1	< 0.1%
58	5	< 0.1%
61	43	0.1%
65	5	< 0.1%
66	44	0.1%
67	61	0.1%

Value	Count	Frequency (%)
19923	1	< 0.1%
19869	1	< 0.1%
19652	1	< 0.1%
19548	3	< 0.1%
19273	3	< 0.1%
19203	1	< 0.1%
19139	4	< 0.1%
19055	2	< 0.1%
19017	1	< 0.1%
18908	1	< 0.1%

WhPerMile
Real number (ℝ)

Missing

Distinct	178
Distinct (%)	0.4%
Missing	17263
Missing (%)	26.0%
Infinite	0
Infinite (%)	0.0%
Mean	361.44416

Minimum	50
Maximum	2000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	519.3 KiB

Quantile statistics

Minimum	50
5-th percentile	250
Q1	288
median	354
Q3	400
95-th percentile	600
Maximum	2000
Range	1950
Interquartile range (IQR)	112

Descriptive statistics

Standard deviation	101.89952
Coefficient of variation (CV)	0.28192328
Kurtosis	33.240202
Mean	361.44416
Median Absolute Deviation (MAD)	46
Skewness	2.8196656
Sum	17778354
Variance	10383.513
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
400	15303	23.0%
250	4610	6.9%
600	3126	4.7%
300	2575	3.9%
333	2271	3.4%
350	1966	3.0%
310	1169	1.8%
200	1134	1.7%
500	1075	1.6%
375	809	1.2%
Other values (168)	15149	22.8%
(Missing)	17263	26.0%

Value	Count	Frequency (%)
50	1	< 0.1%
72	3	< 0.1%
80	21	< 0.1%
120	1	< 0.1%
200	1134	1.7%
205	2	< 0.1%
207	9	< 0.1%
208	10	< 0.1%
211	7	< 0.1%
213	1	< 0.1%

Value	Count	Frequency (%)
2000	22	< 0.1%
1538	10	< 0.1%
769	15	< 0.1%
630	52	0.1%
600	3126	4.7%
593	1	< 0.1%
590	29	< 0.1%
583	9	< 0.1%
577	3	< 0.1%
575	76	0.1%

kWhRequested
Real number (ℝ)

High correlation Missing

Distinct	1201
Distinct (%)	2.4%
Missing	17263
Missing (%)	26.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.136324

Minimum	0
Maximum	215.32
Zeros	17
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	519.3 KiB

Quantile statistics

Minimum	0
5-th percentile	6.66
Q1	12
median	19
Q3	32
95-th percentile	65.1
Maximum	215.32
Range	215.32
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	20.788129
Coefficient of variation (CV)	0.82701547
Kurtosis	11.0455
Mean	25.136324
Median Absolute Deviation (MAD)	9
Skewness	2.5700504
Sum	1236380.4
Variance	432.14629
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	3867	5.8%
20	3186	4.8%
12	3073	4.6%
16	2614	3.9%
40	1536	2.3%
24	1496	2.3%
10	1152	1.7%
15	1136	1.7%
30	815	1.2%
18	700	1.1%
Other values (1191)	29612	44.6%
(Missing)	17263	26.0%

Value	Count	Frequency (%)
0	17	< 0.1%
0.256	1	< 0.1%
1.9	2	< 0.1%
2	3	< 0.1%
2.25	2	< 0.1%
2.27	2	< 0.1%
2.5	37	0.1%
2.59	1	< 0.1%
2.67	2	< 0.1%
2.73	2	< 0.1%

Value	Count	Frequency (%)
215.32	10	< 0.1%
200	22	< 0.1%
199.95	8	< 0.1%
180	30	< 0.1%
156	1	< 0.1%
153.8	11	< 0.1%
150	61	0.1%
149.93	2	< 0.1%
144.76	3	< 0.1%
144	1	< 0.1%

milesRequested
Real number (ℝ)

High correlation Missing

Distinct	106
Distinct (%)	0.2%
Missing	17263
Missing (%)	26.0%
Infinite	0
Infinite (%)	0.0%
Mean	74.499278

Minimum	0
Maximum	775
Zeros	17
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	519.3 KiB

Quantile statistics

Minimum	0
5-th percentile	20
Q1	30
median	50
Q3	100
95-th percentile	200
Maximum	775
Range	775
Interquartile range (IQR)	70

Descriptive statistics

Standard deviation	62.217567
Coefficient of variation (CV)	0.83514321
Kurtosis	5.1274858
Mean	74.499278
Median Absolute Deviation (MAD)	30
Skewness	1.8281768
Sum	3664396
Variance	3871.0256
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	8366	12.6%
40	6073	9.1%
50	5790	8.7%
30	4686	7.1%
100	4658	7.0%
60	3147	4.7%
80	2244	3.4%
70	1910	2.9%
200	1358	2.0%
90	1128	1.7%
Other values (96)	9827	14.8%
(Missing)	17263	26.0%

Value	Count	Frequency (%)
0	17	< 0.1%
1	1	< 0.1%
5	2	< 0.1%
10	607	0.9%
12	1	< 0.1%
15	53	0.1%
17	9	< 0.1%
19	27	< 0.1%
20	8366	12.6%
21	70	0.1%

Value	Count	Frequency (%)
775	8	< 0.1%
480	1	< 0.1%
422	44	0.1%
390	2	< 0.1%
330	1	< 0.1%
320	79	0.1%
310	13	< 0.1%
305	3	< 0.1%
300	285	0.4%
290	112	0.2%

minutesAvailable
Real number (ℝ)

Missing

Distinct	842
Distinct (%)	1.7%
Missing	17263
Missing (%)	26.0%
Infinite	0
Infinite (%)	0.0%
Mean	358.35959

Minimum	1
Maximum	10062
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	519.3 KiB

Quantile statistics

Minimum	1
5-th percentile	60
Q1	193
median	360
Q3	501
95-th percentile	639
Maximum	10062
Range	10061
Interquartile range (IQR)	308

Descriptive statistics

Standard deviation	196.1254
Coefficient of variation (CV)	0.5472866
Kurtosis	122.15961
Mean	358.35959
Median Absolute Deviation (MAD)	155
Skewness	2.8028156
Sum	17626633
Variance	38465.173
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
480	3041	4.6%
60	1831	2.8%
720	773	1.2%
120	726	1.1%
240	626	0.9%
360	616	0.9%
300	550	0.8%
180	483	0.7%
576	346	0.5%
288	322	0.5%
Other values (832)	39873	60.0%
(Missing)	17263	26.0%

Value	Count	Frequency (%)
1	3	< 0.1%
4	2	< 0.1%
5	13	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
11	2	< 0.1%
12	1	< 0.1%
14	1	< 0.1%
15	1	< 0.1%

Value	Count	Frequency (%)
10062	1	< 0.1%
1913	1	< 0.1%
1621	1	< 0.1%
1550	1	< 0.1%
1472	1	< 0.1%
1467	13	< 0.1%
1449	1	< 0.1%
1448	8	< 0.1%
1442	32	< 0.1%
1428	8	< 0.1%

modifiedAt
Date

Missing

Distinct	47704
Distinct (%)	97.0%
Missing	17263
Missing (%)	26.0%
Memory size	519.3 KiB

Minimum	2018-04-30 08:08:54-07:00
Maximum	2021-09-13 22:43:38-07:00

Histogram with fixed size bins (bins=50)

paymentRequired
Boolean

Constant Missing

Distinct	1
Distinct (%)	< 0.1%
Missing	17263
Missing (%)	26.0%
Memory size	519.3 KiB

True	49187
(Missing)	17263

Value	Count	Frequency (%)
True	49187	74.0%
(Missing)	17263	26.0%

requestedDeparture
Date

Missing

Distinct	47773
Distinct (%)	97.1%
Missing	17263
Missing (%)	26.0%
Memory size	519.3 KiB

Minimum	2018-04-30 17:17:49-07:00
Maximum	2021-09-14 10:15:39-07:00

Histogram with fixed size bins (bins=50)

connectionTimespan
Unsupported

Rejected Unsupported

Missing	0
Missing (%)	0.0%
Memory size	519.3 KiB

connectionMonth
Real number (ℝ)

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.6308352

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	259.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.3182489
Coefficient of variation (CV)	0.50042698
Kurtosis	-1.0902495
Mean	6.6308352
Median Absolute Deviation (MAD)	3
Skewness	-0.13455148
Sum	440619
Variance	11.010775
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
7	7362	11.1%
10	6582	9.9%
8	6457	9.7%
9	6123	9.2%
6	5769	8.7%
5	5658	8.5%
1	5339	8.0%
2	5218	7.9%
11	4925	7.4%
12	4508	6.8%
Other values (2)	8509	12.8%

Value	Count	Frequency (%)
1	5339	8.0%
2	5218	7.9%
3	4484	6.7%
4	4025	6.1%
5	5658	8.5%
6	5769	8.7%
7	7362	11.1%
8	6457	9.7%
9	6123	9.2%
10	6582	9.9%

Value	Count	Frequency (%)
12	4508	6.8%
11	4925	7.4%
10	6582	9.9%
9	6123	9.2%
8	6457	9.7%
7	7362	11.1%
6	5769	8.7%
5	5658	8.5%
4	4025	6.1%
3	4484	6.7%

connectionWeekdayName
Categorical

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	519.3 KiB

Tuesday	12969
Wednesday	12767
Thursday	12505
Monday	12067
Friday	10421
Other values (2)	5721

Length

Max length	9
Median length	8
Mean length	7.2385553
Min length	6

Characters and Unicode

Total characters	481002
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Thursday
2nd row	Thursday
3rd row	Thursday
4th row	Thursday
5th row	Thursday

Common Values

Value	Count	Frequency (%)
Tuesday	12969	19.5%
Wednesday	12767	19.2%
Thursday	12505	18.8%
Monday	12067	18.2%
Friday	10421	15.7%
Saturday	3011	4.5%
Sunday	2710	4.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
tuesday	12969	19.5%
wednesday	12767	19.2%
thursday	12505	18.8%
monday	12067	18.2%
friday	10421	15.7%
saturday	3011	4.5%
sunday	2710	4.1%

Most occurring characters

Value	Count	Frequency (%)
d	79217	16.5%
a	69461	14.4%
y	66450	13.8%
e	38503	8.0%
s	38241	8.0%
u	31195	6.5%
n	27544	5.7%
r	25937	5.4%
T	25474	5.3%
W	12767	2.7%
Other values (7)	66213	13.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	481002	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	79217	16.5%
a	69461	14.4%
y	66450	13.8%
e	38503	8.0%
s	38241	8.0%
u	31195	6.5%
n	27544	5.7%
r	25937	5.4%
T	25474	5.3%
W	12767	2.7%
Other values (7)	66213	13.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	481002	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	79217	16.5%
a	69461	14.4%
y	66450	13.8%
e	38503	8.0%
s	38241	8.0%
u	31195	6.5%
n	27544	5.7%
r	25937	5.4%
T	25474	5.3%
W	12767	2.7%
Other values (7)	66213	13.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	481002	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	79217	16.5%
a	69461	14.4%
y	66450	13.8%
e	38503	8.0%
s	38241	8.0%
u	31195	6.5%
n	27544	5.7%
r	25937	5.4%
T	25474	5.3%
W	12767	2.7%
Other values (7)	66213	13.8%

isWeekend
Boolean

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.0 KiB

False	60729
True	5721

Value	Count	Frequency (%)
False	60729	91.4%
True	5721	8.6%

	WhPerMile	connectionMonth	connectionWeekdayName	isWeekend	kWhDelivered	kWhRequested	milesRequested	minutesAvailable	siteID	userID
WhPerMile	1.000	0.005	0.018	0.026	-0.204	-0.109	-0.398	-0.125	0.063	-0.049
connectionMonth	0.005	1.000	0.039	0.058	-0.031	-0.028	-0.029	-0.015	0.166	-0.062
connectionWeekdayName	0.018	0.039	1.000	1.000	0.023	0.023	0.035	0.000	0.232	0.035
isWeekend	0.026	0.058	1.000	1.000	0.014	0.044	0.071	0.005	0.226	0.080
kWhDelivered	-0.204	-0.031	0.023	0.014	1.000	0.691	0.698	0.389	0.208	0.044
kWhRequested	-0.109	-0.028	0.023	0.044	0.691	1.000	0.945	0.420	0.106	0.081
milesRequested	-0.398	-0.029	0.035	0.071	0.698	0.945	1.000	0.414	0.088	0.086
minutesAvailable	-0.125	-0.015	0.000	0.005	0.389	0.420	0.414	1.000	0.009	-0.009
siteID	0.063	0.166	0.232	0.226	0.208	0.106	0.088	0.009	1.000	0.182
userID	-0.049	-0.062	0.035	0.080	0.044	0.081	0.086	-0.009	0.182	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	id	connectionTime	disconnectTime	doneChargingTime	kWhDelivered	sessionID	siteID	spaceID	stationID	timezone	userID	WhPerMile	kWhRequested	milesRequested	minutesAvailable	modifiedAt	paymentRequired	requestedDeparture	connectionTimespan	connectionMonth	connectionWeekdayName	isWeekend
0	5e23b149f9af8b5fe4b973cf	2020-01-02 05:08:54-08:00	2020-01-02 11:11:15-08:00	2020-01-02 09:31:35-08:00	25.016	1_1_179_810_2020-01-02 13:08:53.870034	1	AG-3F30	1-1-179-810	America/Los_Angeles	194.0	250.0	25.00	100.0	463.0	2020-01-02 05:09:39-08:00	True	2020-01-02 12:51:54-08:00	0 days 06:02:21	1	Thursday	False
1	5e23b149f9af8b5fe4b973d0	2020-01-02 05:36:50-08:00	2020-01-02 14:38:21-08:00	2020-01-02 12:18:05-08:00	33.097	1_1_193_825_2020-01-02 13:36:49.599853	1	AG-1F01	1-1-193-825	America/Los_Angeles	4275.0	280.0	70.00	250.0	595.0	2020-01-02 05:37:11-08:00	True	2020-01-02 15:31:50-08:00	0 days 09:01:31	1	Thursday	False
2	5e23b149f9af8b5fe4b973d1	2020-01-02 05:56:35-08:00	2020-01-02 16:39:22-08:00	2020-01-02 08:35:06-08:00	6.521	1_1_193_829_2020-01-02 13:56:35.214993	1	AG-1F03	1-1-193-829	America/Los_Angeles	344.0	400.0	8.00	20.0	60.0	2020-01-02 05:57:17-08:00	True	2020-01-02 06:56:35-08:00	0 days 10:42:47	1	Thursday	False
3	5e23b149f9af8b5fe4b973d2	2020-01-02 05:59:58-08:00	2020-01-02 08:38:39-08:00	2020-01-02 07:18:45-08:00	2.355	1_1_193_820_2020-01-02 13:59:58.309319	1	AG-1F04	1-1-193-820	America/Los_Angeles	1117.0	400.0	8.00	20.0	65.0	2020-01-02 06:00:03-08:00	True	2020-01-02 07:04:58-08:00	0 days 02:38:41	1	Thursday	False
4	5e23b149f9af8b5fe4b973d3	2020-01-02 06:00:01-08:00	2020-01-02 14:08:40-08:00	2020-01-02 10:17:30-08:00	13.375	1_1_193_819_2020-01-02 14:00:00.779967	1	AG-1F06	1-1-193-819	America/Los_Angeles	334.0	400.0	16.00	40.0	504.0	2020-01-02 06:00:13-08:00	True	2020-01-02 14:24:01-08:00	0 days 08:08:39	1	Thursday	False
5	5e23b149f9af8b5fe4b973d4	2020-01-02 06:00:13-08:00	2020-01-02 15:00:41-08:00	2020-01-02 12:13:21-08:00	13.370	1_1_194_821_2020-01-02 14:00:05.241573	1	AG-1F13	1-1-194-821	America/Los_Angeles	3519.0	600.0	24.00	40.0	624.0	2020-01-02 06:00:12-08:00	True	2020-01-02 16:24:13-08:00	0 days 09:00:28	1	Thursday	False
6	5e23b149f9af8b5fe4b973d5	2020-01-02 06:09:14-08:00	2020-01-02 17:57:58-08:00	2020-01-02 16:59:21-08:00	43.477	1_1_178_817_2020-01-02 14:09:14.451827	1	AG-1F09	1-1-178-817	America/Los_Angeles	933.0	385.0	65.45	170.0	647.0	2020-01-02 06:09:33-08:00	True	2020-01-02 16:56:14-08:00	0 days 11:48:44	1	Thursday	False
7	5e23b149f9af8b5fe4b973d6	2020-01-02 06:17:32-08:00	2020-01-02 16:44:54-08:00	2020-01-02 12:22:40-08:00	32.441	1_1_191_804_2020-01-02 14:17:32.329535	1	AG-4F34	1-1-191-804	America/Los_Angeles	3737.0	300.0	45.00	150.0	126.0	2020-01-02 06:17:40-08:00	True	2020-01-02 08:23:32-08:00	0 days 10:27:22	1	Thursday	False
8	5e23b149f9af8b5fe4b973d7	2020-01-02 06:25:38-08:00	2020-01-02 11:36:05-08:00	2020-01-02 10:38:39-08:00	13.264	1_1_194_826_2020-01-02 14:25:37.578692	1	AG-1F11	1-1-194-826	America/Los_Angeles	419.0	400.0	40.00	100.0	491.0	2020-01-02 06:25:45-08:00	True	2020-01-02 14:36:38-08:00	0 days 05:10:27	1	Thursday	False
9	5e23b149f9af8b5fe4b973d8	2020-01-02 06:27:40-08:00	2020-01-02 12:01:48-08:00	2020-01-02 11:17:46-08:00	13.285	1_1_178_823_2020-01-02 14:27:39.582337	1	AG-1F08	1-1-178-823	America/Los_Angeles	651.0	400.0	20.00	50.0	226.0	2020-01-02 06:27:48-08:00	True	2020-01-02 10:13:40-08:00	0 days 05:34:08	1	Thursday	False

	id	connectionTime	disconnectTime	doneChargingTime	kWhDelivered	sessionID	siteID	spaceID	stationID	timezone	userID	WhPerMile	kWhRequested	milesRequested	minutesAvailable	modifiedAt	paymentRequired	requestedDeparture	connectionTimespan	connectionMonth	connectionWeekdayName	isWeekend
66440	5d574ad2f9af8b4c10c0364d	2019-07-31 07:45:29-07:00	2019-07-31 15:01:32-07:00	2019-07-31 15:02:32-07:00	31.376	1_1_191_811_2019-07-31 14:45:29.388046	1	AG-4F42	1-1-191-811	America/Los_Angeles	1626.0	200.0	38.00	190.0	209.0	2019-07-31 07:45:50-07:00	True	2019-07-31 11:14:29-07:00	0 days 07:16:03	7	Wednesday	False
66441	5d574ad2f9af8b4c10c0364e	2019-07-31 07:46:58-07:00	2019-07-31 17:40:07-07:00	2019-07-31 10:22:58-07:00	5.051	1_1_191_782_2019-07-31 14:46:58.326897	1	AG-4F50	1-1-191-782	America/Los_Angeles	2883.0	375.0	7.50	20.0	163.0	2019-07-31 07:47:05-07:00	True	2019-07-31 10:29:58-07:00	0 days 09:53:09	7	Wednesday	False
66442	5d574ad2f9af8b4c10c0364f	2019-07-31 07:48:11-07:00	2019-07-31 18:33:50-07:00	2019-07-31 17:42:45-07:00	9.546	1_1_191_793_2019-07-31 14:48:10.568662	1	AG-4F38	1-1-191-793	America/Los_Angeles	410.0	600.0	48.00	80.0	287.0	2019-07-31 07:48:33-07:00	True	2019-07-31 12:35:11-07:00	0 days 10:45:39	7	Wednesday	False
66443	5d574ad2f9af8b4c10c03650	2019-07-31 07:50:02-07:00	2019-07-31 16:19:49-07:00	2019-07-31 10:11:26-07:00	9.083	1_1_191_786_2019-07-31 14:50:01.704944	1	AG-4F36	1-1-191-786	America/Los_Angeles	607.0	364.0	32.76	90.0	533.0	2019-07-31 07:50:13-07:00	True	2019-07-31 16:43:02-07:00	0 days 08:29:47	7	Wednesday	False
66444	5d574ad2f9af8b4c10c03651	2019-07-31 07:50:17-07:00	2019-07-31 18:01:18-07:00	2019-07-31 13:29:24-07:00	27.174	1_1_191_784_2019-07-31 14:50:17.037367	1	AG-4F40	1-1-191-784	America/Los_Angeles	448.0	200.0	28.00	140.0	60.0	2019-07-31 07:53:40-07:00	True	2019-07-31 08:50:17-07:00	0 days 10:11:01	7	Wednesday	False
66445	5d574ad2f9af8b4c10c03652	2019-07-31 11:08:04-07:00	2019-07-31 16:29:18-07:00	2019-07-31 16:30:18-07:00	28.787	1_1_179_809_2019-07-31 18:08:04.432654	1	AG-3F27	1-1-179-809	America/Los_Angeles	393.0	240.0	31.20	130.0	355.0	2019-07-31 11:08:23-07:00	True	2019-07-31 17:03:04-07:00	0 days 05:21:14	7	Wednesday	False
66446	5d574ad2f9af8b4c10c03653	2019-07-31 11:40:41-07:00	2019-07-31 17:59:42-07:00	2019-07-31 14:44:23-07:00	7.787	1_1_179_810_2019-07-31 18:40:40.900203	1	AG-3F30	1-1-179-810	America/Los_Angeles	220.0	333.0	6.66	20.0	455.0	2019-07-31 11:41:02-07:00	True	2019-07-31 19:15:41-07:00	0 days 06:19:01	7	Wednesday	False
66447	5d574ad2f9af8b4c10c03654	2019-07-31 12:04:40-07:00	2019-07-31 15:44:22-07:00	2019-07-31 15:45:21-07:00	11.274	1_1_191_795_2019-07-31 19:04:40.098273	1	AG-4F51	1-1-191-795	America/Los_Angeles	1974.0	333.0	19.98	60.0	184.0	2019-07-31 12:04:57-07:00	True	2019-07-31 15:08:40-07:00	0 days 03:39:42	7	Wednesday	False
66448	5d574ad2f9af8b4c10c03655	2019-07-31 12:19:47-07:00	2019-07-31 17:34:51-07:00	2019-07-31 14:25:30-07:00	11.589	1_1_191_778_2019-07-31 19:19:46.919358	1	AG-4F43	1-1-191-778	America/Los_Angeles	942.0	275.0	22.00	80.0	60.0	2019-07-31 12:20:10-07:00	True	2019-07-31 13:19:47-07:00	0 days 05:15:04	7	Wednesday	False
66449	5d574ad2f9af8b4c10c03656	2019-07-31 12:21:47-07:00	2019-07-31 15:00:04-07:00	2019-07-31 13:51:34-07:00	0.897	1_1_178_817_2019-07-31 19:21:46.727697	1	AG-1F09	1-1-178-817	America/Los_Angeles	NaN	NaN	NaN	NaN	NaN	NaT	NaN	NaT	0 days 02:38:17	7	Wednesday	False

Most frequently occurring

	id	connectionTime	disconnectTime	doneChargingTime	kWhDelivered	sessionID	siteID	spaceID	stationID	timezone	userID	WhPerMile	kWhRequested	milesRequested	minutesAvailable	modifiedAt	paymentRequired	requestedDeparture	connectionMonth	connectionWeekdayName	isWeekend	# duplicates
0	5d2fbdd3f9af8b4d0dd0d54f	2019-07-01 17:32:46-07:00	2019-07-01 19:34:56-07:00	2019-07-01 18:46:09-07:00	2.463	1_1_193_827_2019-07-02 00:32:45.820079	1	AG-1F02	1-1-193-827	America/Los_Angeles	1117.0	200.0	4.00	20.0	90.0	2019-07-01 17:32:53-07:00	True	2019-07-01 19:02:46-07:00	7	Monday	False	2
1	5d310f54f9af8b52adda3e20	2019-07-02 05:15:28-07:00	2019-07-02 09:01:01-07:00	2019-07-02 09:01:38-07:00	12.891	1_1_194_818_2019-07-02 12:15:28.503952	1	AG-1F14	1-1-194-818	America/Los_Angeles	2834.0	273.0	19.11	70.0	332.0	2019-07-02 05:18:12-07:00	True	2019-07-02 10:47:28-07:00	7	Tuesday	False	2
2	5d310f54f9af8b52adda3e21	2019-07-02 05:42:49-07:00	2019-07-02 12:34:19-07:00	2019-07-02 09:21:21-07:00	13.734	1_1_178_828_2019-07-02 12:42:48.733464	1	AG-1F10	1-1-178-828	America/Los_Angeles	651.0	400.0	20.00	50.0	186.0	2019-07-02 05:43:19-07:00	True	2019-07-02 08:48:49-07:00	7	Tuesday	False	2
3	5d310f54f9af8b52adda3e22	2019-07-02 05:44:46-07:00	2019-07-02 15:33:29-07:00	2019-07-02 09:28:09-07:00	10.619	1_1_178_823_2019-07-02 12:44:45.734064	1	AG-1F08	1-1-178-823	America/Los_Angeles	406.0	600.0	24.00	40.0	581.0	2019-07-02 05:45:09-07:00	True	2019-07-02 15:25:46-07:00	7	Tuesday	False	2
4	5d310f54f9af8b52adda3e23	2019-07-02 05:52:53-07:00	2019-07-02 12:21:25-07:00	2019-07-02 10:55:13-07:00	19.079	1_1_179_799_2019-07-02 12:52:52.691064	1	AG-3F25	1-1-179-799	America/Los_Angeles	439.0	300.0	78.00	260.0	534.0	2019-07-02 05:53:40-07:00	True	2019-07-02 14:46:53-07:00	7	Tuesday	False	2
5	5d310f54f9af8b52adda3e24	2019-07-02 06:02:13-07:00	2019-07-02 12:04:02-07:00	2019-07-02 07:14:25-07:00	2.414	1_1_193_827_2019-07-02 13:02:12.544018	1	AG-1F02	1-1-193-827	America/Los_Angeles	1117.0	200.0	4.00	20.0	90.0	2019-07-02 06:02:13-07:00	True	2019-07-02 07:32:13-07:00	7	Tuesday	False	2
6	5d310f54f9af8b52adda3e25	2019-07-02 06:05:00-07:00	2019-07-02 15:13:28-07:00	2019-07-02 10:33:35-07:00	12.130	1_1_193_819_2019-07-02 13:05:00.715639	1	AG-1F06	1-1-193-819	America/Los_Angeles	334.0	575.0	28.75	50.0	455.0	2019-07-02 06:05:09-07:00	True	2019-07-02 13:40:00-07:00	7	Tuesday	False	2
7	5d310f54f9af8b52adda3e26	2019-07-02 06:14:59-07:00	2019-07-02 16:07:57-07:00	2019-07-02 09:31:16-07:00	7.316	1_1_193_820_2019-07-02 13:14:59.483416	1	AG-1F04	1-1-193-820	America/Los_Angeles	1627.0	400.0	8.00	20.0	646.0	2019-07-02 06:15:13-07:00	True	2019-07-02 17:00:59-07:00	7	Tuesday	False	2
8	5d310f54f9af8b52adda3e27	2019-07-02 06:18:28-07:00	2019-07-02 16:16:24-07:00	2019-07-02 15:45:11-07:00	18.368	1_1_179_788_2019-07-02 13:18:27.824619	1	AG-3F22	1-1-179-788	America/Los_Angeles	529.0	300.0	18.00	60.0	541.0	2019-07-02 06:18:44-07:00	True	2019-07-02 15:19:28-07:00	7	Tuesday	False	2
9	5d310f54f9af8b52adda3e28	2019-07-02 06:25:01-07:00	2019-07-02 15:39:18-07:00	2019-07-02 09:29:23-07:00	13.924	1_1_178_817_2019-07-02 13:25:01.464654	1	AG-1F09	1-1-178-817	America/Los_Angeles	322.0	313.0	18.78	60.0	418.0	2019-07-02 06:25:07-07:00	True	2019-07-02 13:23:01-07:00	7	Tuesday	False	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block